Evidence map›Paper›PMID 36644703›Full record

ArticleEcology and evolution2023

Density-habitat relationships of white-tailed deer (

Jenni Poutanen, Angela K Fuller, Jyrki Pusenius, J Andrew Royle, Mikael Wikström, Jon E Brommer

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Jenni PoutanenDepartment of Biology University Hill, University of Turku Turku Finland.ORCID https://orcid.org/0000-0003-0687-1627
Angela K FullerDepartment of Natural Resources and the Environment, U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit Cornell University Ithaca New York USA.ORCID https://orcid.org/0000-0002-9247-7468
Jyrki PuseniusNatural Resources Institute Finland Joensuu Finland.ORCID https://orcid.org/0000-0003-0450-7530
J Andrew RoyleU.S. Geological Survey Eastern Ecological Science Center Laurel Maryland USA.ORCID https://orcid.org/0000-0003-3135-2167
Mikael WikströmFinnish Wildlife Agency Helsinki Finland.ORCID https://orcid.org/0000-0002-5029-2094
Jon E BrommerDepartment of Biology University Hill, University of Turku Turku Finland.ORCID https://orcid.org/0000-0002-2435-2612
United States Geological Survey · USFinnish Veterinary Foundation · FINatural Resources Institute Finland · FINovia University of Applied Sciences · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population-level processes such as density. We conducted a non-invasive genetic study of white-tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white-tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture-recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second-order habitat selection with highest deer densities in fields and mixed forest, and third-order habitat selection (detection probability) for transitional woodlands (clear-cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non-invasive methods.

Indexed as

non‐invasive geneticsOdocoileus virginianuspopulation densityspatial capture‐recapturewhite‐tailed deerwildlife ecology

Identifiers

PMID36644703
PMCPMC9831969
OpenAlexW4315464869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.